Variant Prioritization by Pedigree‐Based Haplotyping

Whole genome sequence (WGS) data provides opportunities for comprehensive evaluation of variants that may influence complex traits. However, prioritizing the large number of variants, particularly those in non-coding regions, is a challenge. Here we present an approach that uses pedigree-based haplotyping to identify the risk haplotype and resulting set of prioritized variants in a region of interest (ROI) defined by identity-by-descent (IBD) sharing among familial cases. The approach is applicable for use in both a full range of pedigree sizes and for the full allele frequency spectrum of variants without the need for a large reference sample. By determining haplotype sharing among individuals with WGS data, we demonstrate the ability to accurately identify a risk haplotype and a strongly reduced list of potential risk alleles for a trait of interest along with the cases who carry the risk haplotype. This is important in the context of complex traits where the disease may be etiologically heterogeneous even within a single pedigree. Application to both simulated and real Alzheimer's disease family data shows that the approach leads to accurate risk-haplotype identification with marked reduction in the number of potential trait-associated variants. Simulation also shows that the approach provides accurate risk haplotypes in ROIs.

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Publication Details

Journal
Genetic Epidemiology
Published
2026-03-07
DOI
https://doi.org/10.1002/gepi.70039
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00

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article

Variant Prioritization by Pedigree‐Based Haplotyping

E. Blue, TD Bird, Alejandro Q. Nato, Rafael A. Nafikov et al.
Genetic Epidemiology
Genetic Associations and Epidemiology
article

Variant Prioritization by Pedigree‐Based Haplotyping

E. Blue, TD Bird, Alejandro Q. Nato, Rafael A. Nafikov, Harkirat K. Sohi, Ellen M. Wijsman, Anita L. DeStefano, Tyler R. C. Day, Andrea R. Horimoto
article en

Abstract

Whole genome sequence (WGS) data provides opportunities for comprehensive evaluation of variants that may influence complex traits. However, prioritizing the large number of variants, particularly those in non-coding regions, is a challenge. Here we present an approach that uses pedigree-based haplotyping to identify the risk haplotype and resulting set of prioritized variants in a region of interest (ROI) defined by identity-by-descent (IBD) sharing among familial cases. The approach is applicable for use in both a full range of pedigree sizes and for the full allele frequency spectrum of variants without the need for a large reference sample. By determining haplotype sharing among individuals with WGS data, we demonstrate the ability to accurately identify a risk haplotype and a strongly reduced list of potential risk alleles for a trait of interest along with the cases who carry the risk haplotype. This is important in the context of complex traits where the disease may be etiologically heterogeneous even within a single pedigree. Application to both simulated and real Alzheimer's disease family data shows that the approach leads to accurate risk-haplotype identification with marked reduction in the number of potential trait-associated variants. Simulation also shows that the approach provides accurate risk haplotypes in ROIs.

Genetic EpidemiologyVol. 50(3)
Boston University (US), University of North Carolina at Chapel Hill (US), University of Washington (US), University of Washington Medical Center (US), Cancer Research And Biostatistics (US), Brotman Baty Institute (US), Marshall University (US)
U.S. Department of Health and Human Services, University of Pennsylvania, University of Washington, National Institutes of Health, National Institute on Aging, National Heart, Lung, and Blood Institute, National Human Genome Research Institute, National Institute of General Medical Sciences, National Institute of Neurological Disorders and Stroke
Openalex Percentile: Top 30%
Genetic Associations and Epidemiology
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